Journal of Geographical Sciences ›› 2015, Vol. 25 ›› Issue (8): 978-990.doi: 10.1007/s11442-015-1214-7
• Orginal Article • Previous Articles Next Articles
Jianhui YU1,2(), Guanpeng DONG3, Wenzhong ZHANG1,2,*(
), Jiaming LI1,2
Received:
2014-01-14
Accepted:
2015-03-05
Online:
2015-08-15
Published:
2015-07-17
Contact:
Wenzhong ZHANG
E-mail:yujh@igsnrr.ac.cn;zhangwz@igsnrr.ac.cn
About author:
Author: Yu Jianhui (1983-), PhD, specialized in residential space distribution and its evolution mechanism. E-mail:
Supported by:
Jianhui YU, Guanpeng DONG, Wenzhong ZHANG, Jiaming LI. Study on the synergy between intra-urban resident’s migration and job change in Beijing[J].Journal of Geographical Sciences, 2015, 25(8): 978-990.
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Table 1
Statistical descriptions of the data and variables"
Variables | Percentage/Mean |
---|---|
Residential move | 20.73% |
Job change | 10.90% |
Age | |
30-40 | 34.43% |
40-50 | 22.37% |
50-60 | 5.64% |
Family income (104 yuan/month) | |
0.3-0.5 | 26.42% |
0.5-1 | 41.37% |
1-1.5 | 15.62% |
> 1.5 | 6.08% |
Education | |
High school | 22.76% |
College | 65.04% |
Postgraduate | 8.44% |
Occupation | |
Skill intensive | 36.16% |
Labor intensive | 36.31% |
Freelance | 8.10% |
Household employment structure | |
Multiworkers | 77.48% |
Household registration | |
Non-migrator | 90.12% |
Housing tenure | |
Buy | 77.48% |
Commuting time (min) | 35.02 |
Table 2
Estimate results of bivariate probit models among all households, owners and renters"
Variables | All samples (Model 1) | Owners (Model 2) | Renters (Model 3) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Residential move | Job change | Residential move | Job change | Residential move | Job change | |||||||
β | Std.error | β | Std.error | β | Std.error | β | Std.error | β | Std.error | β | Std.error | |
Constant | 0.5378* | 0.3246 | -0.7314 | 0.2924 | -0.1768 | 0.4738 | -1.3496 | 0.4752 | 0.3768 | 0.5475 | -0.7175* | 0.4386 |
Age | ||||||||||||
30-40 | -0.0521 | 0.0756 | -0.0922 | 0.0877 | 0.0811 | 0.0929 | -0.1037 | 0.1096 | -0.3169** | 0.1371 | -0.0881 | 0.1522 |
40-50 | -0.3365*** | 0.0959 | -0.2838** | 0.1132 | -0.2406** | 0.1110 | -0.2258* | 0.1289 | -0.6201*** | 0.2154 | -0.5957** | 0.2700 |
50-60 | -0.3814** | 0.1721 | -0.0852 | 0.1858 | -0.2232 | 0.1926 | -0.2146 | 0.2252 | -0.9816** | 0.4165 | 0.2253 | 0.3716 |
Family income (104 yuan/month) | ||||||||||||
0.3-0.5 | -0.0934 | 0.1229 | 0.1027 | 0.1399 | -0.1078 | 0.1733 | 0.1872 | 0.2072 | 0.0121 | 0.1862 | 0.1036 | 0.2007 |
0.5-1 | -0.0553 | 0.1221 | -0.0304 | 0.1419 | 0.0005 | 0.1712 | 0.0698 | 0.2096 | -0.1075 | 0.1866 | -0.0851 | 0.2037 |
1-1.5 | -0.0355 | 0.1421 | 0.1136 | 0.1630 | 0.1225 | 0.1886 | 0.3830* | 0.2243 | -0.4477* | 0.2513 | -0.7118** | 0.3155 |
> 1.5 | 0.2729 | 0.1724 | -0.0168 | 0.2104 | 0.3423 | 0.2114 | 0.0413 | 0.2703 | 0.1394 | 0.4408 | 0.2056 | 0.4427 |
Education | ||||||||||||
High school | 0.2608 | 0.1993 | 0.0796 | 0.2161 | 0.3661 | 0.3138 | 0.3258 | 0.3479 | 0.0842 | 0.2884 | -0.2539 | 0.3027 |
College | 0.3836** | 0.1953 | 0.2250 | 0.2117 | 0.5029 | 0.3101 | 0.4149 | 0.3449 | 0.1965 | 0.2801 | -0.0046 | 0.2923 |
Postgraduate | 0.3689* | 0.2251 | 0.2384 | 0.2510 | 0.4692 | 0.3340 | 0.3448 | 0.3786 | 0.2539 | 0.3907 | 0.2174 | 0.4192 |
Occupation | ||||||||||||
Skill intensive | -0.0975 | 0.0926 | 0.2025* | 0.1155 | -0.0851 | 0.1032 | 0.1675 | 0.1307 | -0.1116 | 0.2213 | 0.4028 | 0.2692 |
Labor intensive | -0.1457 | 0.0957 | 0.1663 | 0.1188 | -0.1825* | 0.1097 | 0.1229 | 0.1374 | -0.0134 | 0.2177 | 0.3992 | 0.2659 |
Freelance | -0.3010** | 0.1431 | 0.2663* | 0.1594 | -0.4501** | 0.1910 | 0.2370 | 0.1981 | -0.1504 | 0.2677 | 0.4230 | 0.3131 |
Household employment structure | ||||||||||||
Multiworkers | -0.2263** | 0.0999 | -0.1437 | 0.1126 | -0.2589** | 0.1322 | -0.2333 | 0.1500 | -0.2238 | 0.1600 | -0.0201 | 0.1743 |
Household registration | ||||||||||||
Nonmigrator | -0.3910*** | 0.1061 | -0.3234*** | 0.1164 | -0.3970** | 0.1710 | -0.4392** | 0.1879 | -0.3502** | 0.1425 | -0.2122 | 0.1547 |
Housing tenure | ||||||||||||
Buy | -0.6826*** | 0.0788 | -0.4233*** | 0.0900 | ||||||||
Commuting time | 0.0045 | 0.0523 | -0.0259 | 0.0592 | -0.0100 | 0.0688 | 0.0027 | 0.0807 | 0.0488** | 0.0217 | -0.0397 | 0.0899 |
N | 2074 | 1607 | 467 | |||||||||
Log likelihood | -1622.2713 | -1087.7912 | -508.92 | |||||||||
Correlation coefficient (ρ) | 0.2461***(0.0507) | 0.1519** (0.0671) | 0.3788*** (0.0783) | |||||||||
Likelihood test of independence (P) | 22.1563 (0.0000) | 5.0216 (0.0250) | 20.0436 (0.0000) |
Table 3
Estimate results of bivariate probit models among nonmigrators and migrator"
Variables | Non-migrator (Model 4) | Migrant (Model 5) | ||||||
---|---|---|---|---|---|---|---|---|
Residential move | Job change | Residential move | Job change | |||||
β | Std.error | β | Std.error | β | Std.error | β | Std.error | |
Constant | 0.0856 | 0.3900 | -0.91862** | 0.35946 | 1.1040 | 0.8250 | -0.695022 | 0.607114 |
Age | ||||||||
30-40 | 0.0652 | 0.0822 | -0.0898 | 0.0966 | -0.7233*** | 0.2176 | -0.2361 | 0.2259 |
40-50 | -0.2427** | 0.1002 | -0.2638** | 0.1186 | -0.9058** | 0.4391 | -0.6947 | 0.4515 |
50-60 | -0.3200* | 0.1790 | -0.1258 | 0.1949 | -0.6286 | 0.8218 | -0.1125 | 0.7947 |
Family income (104 yuan/month) | ||||||||
0.3-0.5 | -0.1596 | 0.1367 | 0.0462 | 0.1590 | 0.1900 | 0.2952 | 0.4321*** | 0.1546 |
0.5-1 | -0.1365 | 0.1357 | -0.0105 | 0.1604 | 0.2586 | 0.2981 | -0.1899 | 0.3179 |
1-1.5 | -0.1005 | 0.1551 | 0.1394 | 0.1807 | 0.3583 | 0.4081 | 0.0130 | 0.4279 |
> 1.5 | 0.1245 | 0.1885 | -0.0611 | 0.2382 | 1.2338** | 0.5055 | 0.1893 | 0.4846 |
Education | ||||||||
High school | 0.2628 | 0.2565 | 0.0157 | 0.2655 | 0.2798 | 0.3640 | 0.0349 | 0.3783 |
College | 0.4071* | 0.2529 | 0.1238 | 0.2622 | 0.4317 | 0.3513 | 0.2653 | 0.3589 |
Postgraduate | 0.4078 | 0.2786 | 0.1947 | 0.2973 | 0.1043 | 0.5451 | -0.0948 | 0.5792 |
Occupation | ||||||||
Skill intensive | -0.0436 | 0.0979 | 0.1673 | 0.1235 | -0.7525** | 0.3301 | 0.4245 | 0.3596 |
Labor intensive | -0.1364 | 0.1010 | 0.1839 | 0.1256 | -0.4463 | 0.3522 | 0.0762 | 0.3846 |
Freelance | -0.2457* | 0.1369 | 0.2756* | 0.154467 | -0.7395* | 0.4264 | 0.2641 | 0.4494 |
Household employment structure | ||||||||
Multiworkers | -0.2249** | 0.1116 | -0.21439* | 0.1267 | -0.1829 | 0.2426 | 0.0797 | 0.2553 |
Housing tenure | ||||||||
Buy | -0.6894*** | 0.0852 | -0.4398*** | 0.0975 | -0.6518*** | 0.2341 | -0.2544 | 0.2448 |
Commuting time | 0.0186 | 0.0586 | -0.0174 | 0.0673 | -0.0200 | 0.1278 | -0.1184 | 0.1313 |
N | 1869 | 205 | ||||||
Log likelihood | -1389.1763 | -210.7548 | ||||||
Correlation coefficient (ρ) | 0.1886*** (0.0571) | 0.5397*** (0.1096) | ||||||
Likelihood test of independence (P) | 10.5122 (0.0012) | 17.4117 (0.0000) |
Table 4
Estimate results of bivariate probit models among single worker and multi-worker households"
Variables | Single worker household (Model 6) | Single worker household (Model 7) | ||||||
---|---|---|---|---|---|---|---|---|
Residential move | Job change | Residential move | Job change | |||||
β | Std.error | β | Std.error | β | Std.error | β | Std.error | |
Constant | 1.1412 | 0.7533 | -1.1286 | 0.6464 | 0.3151 | 0.3764 | -0.8269 | 0.3572 |
Age | ||||||||
30-40 | 0.0409 | 0.1989 | -0.4047* | 0.2373 | -0.0710 | 0.0824 | -0.0454 | 0.0956 |
40-50 | -0.6708** | 0.3333 | -0.3976 | 0.3497 | -0.3056*** | 0.1014 | -0.2535** | 0.1209 |
50-60 | -0.5666 | 0.6146 | 1.1108 | 1.4833 | -0.3643** | 0.1809 | -0.3086 | 0.2193 |
Family income (104 yuan/month) | ||||||||
0.3-0.5 | -0.0590 | 0.2255 | 0.2575 | 0.2479 | -0.1942 | 0.1545 | 0.0116 | 0.1794 |
0.5-1 | 0.1525 | 0.2703 | -0.0938 | 0.3168 | -0.1806 | 0.1490 | -0.0737 | 0.1748 |
1-1.5 | 0.3728 | 0.4446 | 0.0810 | 0.4876 | -0.1664 | 0.1659 | 0.0777 | 0.1918 |
> 1.5 | 0.9112* | 0.5337 | -0.0667 | 0.6866 | 0.1165 | 0.1958 | -0.0599 | 0.2383 |
Education | ||||||||
High school | 0.4681 | 0.3751 | 0.3398 | 0.3185 | 0.1941 | 0.2432 | 0.2442 | 0.2800 |
College | 0.5969* | 0.3645 | 0.0726 | 0.3303 | 0.3209 | 0.2387 | 0.3245 | 0.2750 |
Postgraduate | 0.5822 | 0.4955 | 0.1976 | 0.3982 | 0.3091 | 0.2684 | 0.3301 | 0.3134 |
Occupation | ||||||||
Skill intensive | 0.0493 | 0.2754 | 0.3398 | 0.3185 | -0.1083 | 0.0996 | 0.2043* | 0.1265 |
Labor intensive | -0.1495 | 0.2968 | 0.0726 | 0.3303 | -0.1291 | 0.1023 | 0.2111* | 0.1296 |
Freelance | -0.3561 | 0.3804 | 0.1976 | 0.3982 | -0.2709* | 0.1585 | 0.3396** | 0.1773 |
Household registration | ||||||||
Nonmigrator | -0.2355*** | 0.2445 | -0.1105 | 0.2678 | -0.4252*** | 0.1197 | -0.3972*** | 0.1312 |
Housing tenure | ||||||||
Buy | -0.8493 | 0.2036 | -0.5286** | 0.2277 | -0.6512*** | 0.0868 | -0.4062*** | 0.0997 |
Commuting time | 0.2601 | 0.2369 | 0.0651 | 0.1515 | 0.0552 | 0.0577 | -0.0526 | 0.0652 |
N | 274 | 1800 | ||||||
Log likelihood | -240.8636 | -1362.95 | ||||||
Correlation coefficient(ρ) | 0.3633*** (0.1229) | 0.2330*** (0.0560) | ||||||
Likelihood test of independence (P) | 7.5433 (0.0060) | 16.4065 (0.0001) |
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